Simulação de Compra Diária com Alavancagem 2xSimulação de Compra Diária com Alavancagem 2x
Simulação de Compra Diária com Alavancagem 2xSimulação de Compra Diária com Alavancagem 2xSimulação de Compra Diária com Alavancagem 2xSimulação de Compra Diária com Alavancagem 2xSimulação de Compra Diária com Alavancagem 2xSimulação de Compra Diária com Alavancagem 2xSimulação de Compra Diária com Alavancagem 2xSimulação de Compra Diária com Alavancagem 2x
Indicators and strategies
criptosefa Fibonacci Levels with Labelsfıb100 ve fıb 0 otomatik olarak sizlere gösterecek her paritede zaman aralığı otomatik ayarlandı ayrı zamanda etiketler eklendi fib phh ve phhl olarak etiket eklendi keyifle kullanın
BELIKENOOTHER34 UNLIMITEDVarios cci para acceder a la tendencia, tenemos el cci de color que indica hacia donde esta yendo el mercado, luego tenemos el otro oscilador que nos indica la entrada mas optima desde el retroceso.
BELIKENOOTHER34 UNLIMITEDEs un script basado en varios cci en diferentes temporalidades, el que tiene el color determina la tendencia y el otro que soplo es una linea indica la mayor probabilidad de entrada después del retroceso o corrección.
50 and 9 EMA CrossoverThis 50 and 9 EMA Crossover strategy is a simple yet effective trend-following approach designed to identify key market entry and exit points based on the interaction of two Exponential Moving Averages (EMAs).
Key Features:
50-period EMA (Blue Line): Represents the longer-term trend. It smooths out price data to show the overall market direction.
9-period EMA (Red Line): Represents the shorter-term trend, responding quicker to recent price movements.
Strategy:
Buy Signal: A crossover occurs when the 9 EMA crosses above the 50 EMA, indicating that short-term momentum is stronger than the long-term trend. This is often interpreted as a signal to enter a long position (buy).
Sell Signal: A crossunder occurs when the 9 EMA crosses below the 50 EMA, suggesting that short-term momentum is weakening or reversing. This can be used as an indication to close long positions or enter short trades (sell).
Key Benefits:
Visual Indicators: The script plots both EMAs on the chart for a clear visual representation of market trends.
Clear Entry/Exit Signals: The "BUY" and "SELL" signals are displayed directly on the chart when the crossovers and crossunders occur, making it easy to act on these key moments.
Alerts: Set up alerts to get notified when these crossovers occur, ensuring you don’t miss important trading opportunities.
This strategy works best in trending markets and can be used for both short-term and longer-term trading, depending on your preferences.
Stochastic and RSI Vini//@version=6
indicator(title="Stochastic and RSI", shorttitle="Stoch RSI", format=format.price, precision=2, timeframe="", timeframe_gaps=true)
// --- Estocástico ---
periodK = input.int(14, title="%K Length", minval=1)
smoothK = input.int(1, title="%K Smoothing", minval=1)
periodD = input.int(3, title="%D Smoothing", minval=1)
k = ta.sma(ta.stoch(close, high, low, periodK), smoothK)
d = ta.sma(k, periodD)
plot(k, title="%K", color=#2962FF)
plot(d, title="%D", color=#FF6D00)
h0 = hline(80, "Upper Band", color=#787B86)
hline(50, "Middle Band", color=color.new(#787B86, 50))
h1 = hline(20, "Lower Band", color=#787B86)
fill(h0, h1, color=color.rgb(33, 150, 243, 90), title="Background")
// --- RSI ---
rsiLengthInput = input.int(14, minval=1, title="RSI Length", group="RSI Settings")
rsiSourceInput = input.source(close, "Source", group="RSI Settings")
calculateDivergence = input.bool(false, title="Calculate Divergence", group="RSI Settings", display = display.data_window, tooltip = "Calculating divergences is needed in order for divergence alerts to fire.")
change = ta.change(rsiSourceInput)
up = ta.rma(math.max(change, 0), rsiLengthInput)
down = ta.rma(-math.min(change, 0), rsiLengthInput)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
rsiPlot = plot(rsi, "RSI", color=#7E57C2)
rsiUpperBand = hline(70, "RSI Upper Band", color=#787B86)
midline = hline(50, "RSI Middle Band", color=color.new(#787B86, 50))
rsiLowerBand = hline(30, "RSI Lower Band", color=#787B86)
fill(rsiUpperBand, rsiLowerBand, color=color.rgb(126, 87, 194, 90), title="RSI Background Fill")
midLinePlot = plot(50, color = na, editable = false, display = display.none)
fill(rsiPlot, midLinePlot, 100, 70, top_color = color.new(color.green, 0), bottom_color = color.new(color.green, 100), title = "Overbought Gradient Fill")
fill(rsiPlot, midLinePlot, 30, 0, top_color = color.new(color.red, 100), bottom_color = color.new(color.red, 0), title = "Oversold Gradient Fill")
// --- Divergencia RSI ---
lookbackRight = 5
lookbackLeft = 5
rangeUpper = 60
rangeLower = 5
bearColor = color.red
bullColor = color.green
textColor = color.white
noneColor = color.new(color.white, 100)
_inRange(bool cond) =>
bars = ta.barssince(cond)
rangeLower <= bars and bars <= rangeUpper
plFound = false
phFound = false
bullCond = false
bearCond = false
rsiLBR = rsi
if calculateDivergence
// Regular Bullish
plFound := not na(ta.pivotlow(rsi, lookbackLeft, lookbackRight))
rsiHL = rsiLBR > ta.valuewhen(plFound, rsiLBR, 1) and _inRange(plFound )
lowLBR = low
priceLL = lowLBR < ta.valuewhen(plFound, lowLBR, 1)
bullCond := priceLL and rsiHL and plFound
// Regular Bearish
phFound := not na(ta.pivothigh(rsi, lookbackLeft, lookbackRight))
rsiLH = rsiLBR < ta.valuewhen(phFound, rsiLBR, 1) and _inRange(phFound )
highLBR = high
priceHH = highLBR > ta.valuewhen(phFound, highLBR, 1)
bearCond := priceHH and rsiLH and phFound
plot(
plFound ? rsiLBR : na,
offset=-lookbackRight,
title="Regular Bullish",
linewidth=2,
color=(bullCond ? bullColor : noneColor),
display = display.pane
)
plotshape(
bullCond ? rsiLBR : na,
offset=-lookbackRight,
title="Regular Bullish Label",
text=" Bull ",
style=shape.labelup,
location=location.absolute,
color=bullColor,
textcolor=textColor
)
plot(
phFound ? rsiLBR : na,
offset=-lookbackRight,
title="Regular Bearish",
linewidth=2,
color=(bearCond ? bearColor : noneColor),
display = display.pane
)
plotshape(
bearCond ? rsiLBR : na,
offset=-lookbackRight,
title="Regular Bearish Label",
text=" Bear ",
style=shape.labeldown,
location=location.absolute,
color=bearColor,
textcolor=textColor
)
alertcondition(bullCond, title='Regular Bullish Divergence', message="Found a new Regular Bullish Divergence, `Pivot Lookback Right` number of bars to the left of the current bar.")
alertcondition(bearCond, title='Regular Bearish Divergence', message='Found a new Regular Bearish Divergence, `Pivot Lookback Right` number of bars to the left of the current bar.')
EMA Conditions Overlay with Weekly Tick MovementDisplays EMA conditions for 4H and daily timeframes along with weekly tick movement
Buffett Indicator: Wilshire 5000 to GDP Ratio [Enhanced]Funktionen:
Buffett-Indikator Berechnung:
Der Indikator basiert auf Daten von FRED:
Wilshire 5000 Total Market Index (WILL5000PR): Darstellung der gesamten Marktkapitalisierung des US-Marktes.
Bruttoinlandsprodukt (GDP): Darstellung der gesamten Wirtschaftsleistung der USA.
Der Indikator wird als Prozentsatz berechnet:
Marktkapitalisierung / GDP * 100
Gleitender Durchschnitt (optional):
Du kannst einen gleitenden Durchschnitt aktivieren, um Trends des Buffett-Indikators zu analysieren.
Zwei Typen stehen zur Verfügung:
SMA (Simple Moving Average): Einfacher gleitender Durchschnitt.
EMA (Exponential Moving Average): Gewichteter gleitender Durchschnitt.
Die Länge des gleitenden Durchschnitts ist konfigurierbar.
Visuelle Darstellung:
Der Buffett-Indikator wird als blaue Linie auf dem Chart dargestellt.
Horizontalen Schwellenwerte (50, 100, 150, 200) zeigen wichtige Level an:
50: Niedrig (grün).
100: Durchschnittlich (gelb).
150: Hoch (orange).
200: Extrem hoch (rot).
Alerts:
Alerts informieren dich, wenn der Buffett-Indikator über oder unter einen von dir definierten Schwellenwert geht.
Ideal für automatisches Monitoring und Benachrichtigungen.
Eingabemöglichkeiten:
Moving Average Einstellungen:
Enable Moving Average: Aktiviert den gleitenden Durchschnitt.
Type: Wähle zwischen SMA und EMA.
Length: Bestimme die Länge des gleitenden Durchschnitts (Standard: 200).
Alert Level:
Setze den Schwellenwert, ab dem Alerts ausgelöst werden (z. B. 150).
Anwendung:
Marktanalyse: Der Buffett-Indikator hilft dabei, die Bewertung des Aktienmarktes im Verhältnis zur Wirtschaftsleistung zu bewerten. Ein Wert über 100 % deutet auf eine mögliche Überbewertung hin.
Trendverfolgung: Der gleitende Durchschnitt zeigt langfristige Trends des Indikators.
Benachrichtigungen: Alerts ermöglichen eine effiziente Überwachung, ohne den Indikator ständig manuell überprüfen zu müssen.
heaven rope Meta AI: Here's a brief description of a price action indicator that works similarly to the Super Moving Channel (SMC) indicator:
Indicator Name: Moving Average Cloud (MAC)
*Description:*
The Moving Average Cloud (MAC) is a price action indicator that combines multiple moving averages to create a "cloud" that surrounds the price action. This cloud acts as a dynamic support and resistance zone, helping traders identify trends, reversals, and potential trading opportunities.
*Key Components:*
1. *Multiple Moving Averages*: The MAC uses a combination of short-term and long-term moving averages to create the cloud.
2. *Cloud Formation*: The moving averages are plotted on the chart, creating a cloud-like formation that adapts to changing market conditions.
3. *Support and Resistance*: The cloud acts as a dynamic support and resistance zone, helping traders identify potential trading opportunities.
*Trading Strategies:*
1. *Trend Following*: Use the MAC to identify the trend direction and follow it.
2. *Mean Reversion*: Look for price action to revert to the mean (the cloud) after a significant move.
3. *Breakout Trading*: Trade breakouts from the cloud, using the cloud as a reference point for support and resistance.
The Moving Average Cloud (MAC) indicator provides a unique perspective on price action, helping traders make more informed decisions.
Meta AI: Here's a brief description of a price action indicator that works similarly to the Super Moving Channel (SMC) indicator:
Indicator Name: Moving Average Cloud (MAC)
*Description:*
The Moving Average Cloud (MAC) is a price action indicator that combines multiple moving averages to create a "cloud" that surrounds the price action. This cloud acts as a dynamic support and resistance zone, helping traders identify trends, reversals, and potential trading opportunities.
*Key Components:*
1. *Multiple Moving Averages*: The MAC uses a combination of short-term and long-term moving averages to create the cloud.
2. *Cloud Formation*: The moving averages are plotted on the chart, creating a cloud-like formation that adapts to changing market conditions.
3. *Support and Resistance*: The cloud acts as a dynamic support and resistance zone, helping traders identify potential trading opportunities.
*Trading Strategies:*
1. *Trend Following*: Use the MAC to identify the trend direction and follow it.
2. *Mean Reversion*: Look for price action to revert to the mean (the cloud) after a significant move.
3. **Breakout Trading
Multi-Timeframe VWAP Strategy [JARUTIR]Multi-Timeframe VWAP with Price Above VWAP Marker
This indicator allows you to view the Volume-Weighted Average Price (VWAP) across multiple timeframes on a single chart. The VWAP is a popular technical analysis tool used by traders to determine the average price of an asset weighted by volume. It helps identify the overall market trend and is especially useful for intraday trading.
Key Features :
Multiple Timeframes: Choose from 1-minute, 5-minute, 15-minute, 30-minute, 1-hour, and 1-day VWAPs. You can enable or disable the VWAP for any timeframe based on your preference.
Customizable: Easily toggle on/off the VWAP for each timeframe via checkboxes in the settings.
Price Above VWAP Marker: A clear green up arrow is displayed above the price bar whenever the price is above the current VWAP, helping you quickly spot potential bullish signals.
Flexible & Easy to Use: Adjust the settings for any timeframe and see the VWAPs on your chart without clutter. Whether you are trading in the short term or analyzing longer-term trends, this tool provides you with the flexibility you need.
How to Use :
VWAP as Trend Indicator: The VWAP is commonly used to identify whether the price is trending above or below the average price for the session. Price above the VWAP generally signals bullish momentum, while price below the VWAP can indicate bearish pressure.
Price Above VWAP Marker: The green up arrow is your signal for when the price is above the VWAP, which can be used as a potential entry point for long trades.
Customize Timeframes: Whether you're focusing on ultra-short-term movements (like 1-min or 5-min) or need a broader view (like 1-hour or 1-day), this indicator lets you tailor the analysis to your preferred time horizon.
Ideal For :
Intraday Traders looking for quick signals on different timeframes.
Swing Traders who want to track the overall market trend with multiple VWAP levels.
Scalpers needing to monitor fast price movements alongside volume-weighted averages
Large Body Candle IndicatorFunctionality
Comparison: The indicator compares the body size of the current candle to the maximum body size of the previous 5 candles.
Bullish Candles: When a bullish candle (close > open) has a larger body than the previous 5 candles:
A green triangle is plotted below the candle
The candle is colored green
Bearish Candles: When a bearish candle (close < open) has a larger body than the previous 5
candles:
A red triangle is plotted above the candle
The candle is colored red
Key Components
Lookback Period: Default set to 5 candles, but can be adjusted by the user.
Body Size Calculation: Calculated as the absolute difference between the open and close prices.
Maximum Previous Body Size: Determined by comparing the body sizes of the previous 5 candles.
Candle Classification: Candles are classified as bullish or bearish based on the relationship between open and close prices.
Visual Indicators:
Shape plotting for triangles
Bar coloring for highlighted candles
User Customization
Users can adjust the lookback period through the indicator settings, allowing for flexibility in identifying significant candles based on recent price action.
Use Cases
Identifying potential breakout candles
Spotting significant price movements
Enhancing visual analysis of price action
Supporting decision-making in trading strategies
Limitations
The indicator does not predict future price movements
It's based solely on recent price action and doesn't consider other technical or fundamental factors
Conclusion
The Large Body Candle Indicator provides a simple yet effective way to visually identify candles that show significant price movement relative to recent price action. It can be a valuable tool when used in conjunction with other technical analysis methods.
heaven rope Meta AI: Here's a brief description of a price action indicator that works similarly to the Super Moving Channel (SMC) indicator:
Indicator Name: Moving Average Cloud (MAC)
*Description:*
The Moving Average Cloud (MAC) is a price action indicator that combines multiple moving averages to create a "cloud" that surrounds the price action. This cloud acts as a dynamic support and resistance zone, helping traders identify trends, reversals, and potential trading opportunities.
*Key Components:*
1. *Multiple Moving Averages*: The MAC uses a combination of short-term and long-term moving averages to create the cloud.
2. *Cloud Formation*: The moving averages are plotted on the chart, creating a cloud-like formation that adapts to changing market conditions.
3. *Support and Resistance*: The cloud acts as a dynamic support and resistance zone, helping traders identify potential trading opportunities.
*Trading Strategies:*
1. *Trend Following*: Use the MAC to identify the trend direction and follow it.
2. *Mean Reversion*: Look for price action to revert to the mean (the cloud) after a significant move.
3. *Breakout Trading*: Trade breakouts from the cloud, using the cloud as a reference point for support and resistance.
The Moving Average Cloud (MAC) indicator provides a unique perspective on price action, helping traders make more informed decisions.
Meta AI: Here's a brief description of a price action indicator that works similarly to the Super Moving Channel (SMC) indicator:
Indicator Name: Moving Average Cloud (MAC)
*Description:*
The Moving Average Cloud (MAC) is a price action indicator that combines multiple moving averages to create a "cloud" that surrounds the price action. This cloud acts as a dynamic support and resistance zone, helping traders identify trends, reversals, and potential trading opportunities.
*Key Components:*
1. *Multiple Moving Averages*: The MAC uses a combination of short-term and long-term moving averages to create the cloud.
2. *Cloud Formation*: The moving averages are plotted on the chart, creating a cloud-like formation that adapts to changing market conditions.
3. *Support and Resistance*: The cloud acts as a dynamic support and resistance zone, helping traders identify potential trading opportunities.
*Trading Strategies:*
1. *Trend Following*: Use the MAC to identify the trend direction and follow it.
2. *Mean Reversion*: Look for price action to revert to the mean (the cloud) after a significant move.
3. **Breakout Trading
ZelosKapital Round NumberThe ZelosKapital Round Number Indicator is a tool designed for traders to easily visualize significant round numbers on their charts. Round numbers, such as 1.20000 or 1.21000 in currency pairs, often act as psychological levels in the market where price action tends to react. This indicator automatically marks these levels across the chart, providing a clear reference for potential support and resistance zones. It is customizable, allowing traders to adjust the visual appearance, such as line style, color, and thickness. By highlighting these key levels, the indicator helps traders make more informed decisions and enhances their overall trading analysis.
CM_Williams_Vix_Fix Top BottomModification to the original CM_Williams_Vix_Fix that also finds the top.
Three EMA for mr shalashthis is 3 in 1 ema indicator to show you 3 different time frame
5 min and 15 min and 30 min
when you are trading on time frame 5 min you will have the confirmation from the 15 and 30 min
Daily Range Breakout StrategyThis strategy is designed to detect session highs and lows during a specified time window and place trades based on breakout conditions. It integrates robust range detection logic inspired by the DR/IDR methodology, ensuring accurate high/low calculations for each session.
Key Features:
Session-Based High/Low Detection.
Trade Placement After Session Ends.
Stop Loss and Take Profit Levels.
Date-Based Backtesting.
Visualization.
Debugging Logs.
sell & buy indicator for BEHRAD//@version=5
indicator("اندیکاتور خرید و فروش", overlay=true)
// تنظیمات
rsiPeriod = input(14, title="دوره RSI")
rsiOverbought = input(70, title="اشباع خرید (Overbought)")
rsiOversold = input(30, title="اشباع فروش (Oversold)")
shortMA = input(9, title="میانگین متحرک کوتاهمدت")
longMA = input(21, title="میانگین متحرک بلندمدت")
// محاسبات
rsi = ta.rsi(close, rsiPeriod)
shortMAValue = ta.sma(close, shortMA)
longMAValue = ta.sma(close, longMA)
// سیگنالها
buySignal = rsi < rsiOversold and shortMAValue > longMAValue
sellSignal = rsi > rsiOverbought and shortMAValue < longMAValue
// ترسیم نقاط خرید و فروش
plotshape(buySignal, title="خرید", location=location.belowbar, color=color.green, style=shape.labelup, text="Buy")
plotshape(sellSignal, title="فروش", location=location.abovebar, color=color.red, style=shape.labeldown, text="Sell")
// میانگینها
plot(shortMAValue, color=color.blue, title="میانگین کوتاهمدت")
plot(longMAValue, color=color.orange, title="میانگین بلندمدت")
High-Low Breakout its about high & low of the candle stick pattern he highest high of the last 3 candles is broken then buy, and sell signals when the lowest low of the last 3 candles is broken then sell. after buy when trend changes than give other signal
Daily CPR & 3MA CrossoverDaily CPR & 3MA Crossover this indicator make profitable trader
This script calculates the Daily CPR and plots the three lines (Top Central, Pivot, and Bottom Central) on the chart. It also calculates three moving averages, identifies crossovers for buy/sell signals, and provides visual markers and alerts for those signals. You can customize the moving average lengths in the settings. Let me know if you need adjustments or additional features!
